Construction of dominant factor presumption model for postoperative hospital days from operation records

Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Brendan Flanagan, Naoki Nakashima, Sachio Hirokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The secondary use of clinical text data to improve the quality and the efficiency of medical care is gaining much attention. However, there are few previous researches that have given feedback to clinical situations. The present paper analyzes the words that appear in operation records to predict the postoperative length of stay. SVM (support vector machine) and feature selection are applied to predict if a stay is longer than the standard length of 25 days. It was confirmed that with less than 20 feature words we can predict if a stay is longer or not with almost the optimal prediction performance.

Original languageEnglish
Title of host publicationProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9781479941735
DOIs
Publication statusPublished - Sep 29 2014
Event3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan
Duration: Aug 31 2014Sep 4 2014

Publication series

NameProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

Other

Other3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
CountryJapan
CityKitakyushu
Period8/31/149/4/14

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All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., ... Hirokawa, S. (2014). Construction of dominant factor presumption model for postoperative hospital days from operation records. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014 (pp. 19-24). [6913260] (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2014.16